Search ga_ls5t_ard_3 whole collection

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels. For these ARD products, this value comes from the Fmask algorithm. from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels. For these ARD products, this value comes from the Fmask algorithm. to (exclusive):

Time when dataset was created (processed) From

Time when dataset was created (processed) to (exclusive)

The raw CRS string as it appears in metadata:

One of - final|interim|nrt (near real time):

ID of a dataset type:

Ground sampling distance of the sensor’s best resolution band in metres; represents the size (or spatial resolution) of one pixel. from:

Ground sampling distance of the sensor’s best resolution band in metres; represents the size (or spatial resolution) of one pixel. to (exclusive):

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north from:

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north to (exclusive):

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon. from:

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon. to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm to (exclusive):

File format (GeoTiff, NetCDF):

GQA Circular error probable (90%) from:

GQA Circular error probable (90%) to (exclusive):

Mean of the absolute values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the absolute values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the absolute values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the absolute values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the absolute values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the absolute values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Absolute value of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Absolute value of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Absolute value of the total GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Absolute value of the total GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Absolute value of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Absolute value of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Circular error probable (90%) of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Circular error probable (90%) of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Dataset UUID:

User who indexed the dataset:

When dataset was indexed:

Label:

A Landsat Collection 1 Level-1 product identifier including the Collection processing levels, processing date, collection number, and collection tier category (e.g. ‘LE07_L1TP_098084_20210307_20210308_02_RT’) :

A Landsat scene ID including WRS path and row, year and day, ground station identifier and archive version number (e.g. ‘LC80900852021066LGN00’) :

Latitude range from:

Latitude range to (exclusive):

Longitude range from:

Longitude range to (exclusive):

Full metadata document:

Metadata type name of dataset:

ID of a metadata type:

Spatial reference code from the provider. For Landsat region_code is a scene path row: '{:03d}{:03d}.format(path,row)' For Sentinel it is MGRS code. In general it is a unique string identifier that datasets covering roughly the same spatial region share. :

Acquisition time range From

Acquisition time range to (exclusive)

Dataset URI:

Add field

62 results

Time (local)	Label
1987-10-04 09:41:11	ga_ls5t_ard_3-0-0_099079_1987-10-04_final
1988-10-31 09:37:56	ga_ls5t_ard_3-0-0_098078_1988-10-31_final
1989-03-08 09:37:19	ga_ls5t_ard_3-0-0_098079_1989-03-08_final
1989-05-01 10:36:20	ga_ls5t_ard_3-0-0_108074_1989-05-01_final
1989-06-10 09:47:23	ga_ls5t_ard_3-0-0_100077_1989-06-10_final
1989-11-18 08:48:10	ga_ls5t_ard_3-0-0_091078_1989-11-17_final
1991-06-13 10:52:27	ga_ls5t_ard_3-0-0_111083_1991-06-13_final
1991-08-04 08:51:58	ga_ls5t_ard_3-0-0_091089_1991-08-03_final
1991-09-13 09:36:59	ga_ls5t_ard_3-0-0_099077_1991-09-13_final
1991-09-28 08:52:36	ga_ls5t_ard_3-1-0_092074_1991-09-27_final
1992-06-24 09:09:04	ga_ls5t_ard_3-0-0_094086_1992-06-23_final
1992-09-06 09:41:32	ga_ls5t_ard_3-0-0_100077_1992-09-06_final
1993-10-19 08:50:50	ga_ls5t_ard_3-1-0_092074_1993-10-18_final
1994-04-21 09:39:16	ga_ls5t_ard_3-0-0_100077_1994-04-21_final
1994-04-23 09:27:16	ga_ls5t_ard_3-0-0_098078_1994-04-22_final
1994-05-01 10:17:46	ga_ls5t_ard_3-1-0_106081_1994-05-01_final
1994-11-01 09:22:49	ga_ls5t_ard_3-0-0_098079_1994-10-31_final
1995-02-26 09:36:24	ga_ls5t_ard_3-0-0_101077_1995-02-26_final
1995-06-03 08:40:12	ga_ls5t_ard_3-0-0_092086_1995-06-02_final
1995-07-15 09:12:58	ga_ls5t_ard_3-0-0_098080_1995-07-14_final
1995-09-24 09:15:26	ga_ls5t_ard_3-0-0_099079_1995-09-23_final
1995-10-16 10:14:03	ga_ls5t_ard_3-0-0_109074_1995-10-16_final
1995-11-01 10:13:16	ga_ls5t_ard_3-0-0_109074_1995-11-01_final
1996-03-27 09:15:27	ga_ls5t_ard_3-0-0_098078_1996-03-26_final
1996-05-21 09:24:32	ga_ls5t_ard_3-0-0_099077_1996-05-20_final
1997-01-16 09:37:15	ga_ls5t_ard_3-0-0_099078_1997-01-16_final
1997-05-17 09:36:08	ga_ls5t_ard_3-0-0_098079_1997-05-17_final
1997-12-08 10:48:19	ga_ls5t_ard_3-0-0_109074_1997-12-08_final
1997-12-10 10:36:01	ga_ls5t_ard_3-0-0_107074_1997-12-10_final
1998-07-06 10:42:18	ga_ls5t_ard_3-0-0_107081_1998-07-06_final
1998-07-13 09:12:28	ga_ls5t_ard_3-0-0_092088_1998-07-12_final
1998-08-21 10:52:15	ga_ls5t_ard_3-0-0_109074_1998-08-21_final
1998-08-31 09:51:46	ga_ls5t_ard_3-0-0_099077_1998-08-31_final
1998-09-06 10:52:25	ga_ls5t_ard_3-0-0_109074_1998-09-06_final
1999-04-12 09:52:14	ga_ls5t_ard_3-0-0_099078_1999-04-12_final
1999-06-05 09:18:04	ga_ls5t_ard_3-0-0_093087_1999-06-04_final
1999-06-23 10:42:03	ga_ls5t_ard_3-0-0_107081_1999-06-23_final
2003-10-08 10:41:57	ga_ls5t_ard_3-0-0_107081_2003-10-08_final
2003-10-24 10:40:10	ga_ls5t_ard_3-0-0_107076_2003-10-24_final
2003-11-18 10:33:55	ga_ls5t_ard_3-0-0_106075_2003-11-18_final
2003-12-11 10:40:40	ga_ls5t_ard_3-0-0_107076_2003-12-11_final
2004-02-05 09:51:59	ga_ls5t_ard_3-0-0_099077_2004-02-05_final
2004-02-22 10:34:33	ga_ls5t_ard_3-0-0_106075_2004-02-22_final
2004-02-29 10:43:09	ga_ls5t_ard_3-0-0_107081_2004-02-29_final
2004-04-09 09:53:24	ga_ls5t_ard_3-0-0_099079_2004-04-09_final
2004-04-09 11:31:30	ga_ls5t_ard_3-0-0_115077_2004-04-09_final
2004-08-15 11:35:00	ga_ls5t_ard_3-0-0_115077_2004-08-15_final
2004-10-06 11:09:58	ga_ls5t_ard_3-0-0_111073_2004-10-06_final
2005-07-01 09:58:20	ga_ls5t_ard_3-0-0_099071_2005-07-01_final
2005-10-05 10:01:36	ga_ls5t_ard_3-0-0_099078_2005-10-05_final
2006-03-06 10:52:41	ga_ls5t_ard_3-0-0_107075_2006-03-06_final
2006-06-18 10:06:32	ga_ls5t_ard_3-0-0_099079_2006-06-18_final
2006-07-28 09:21:39	ga_ls5t_ard_3-0-0_091089_2006-07-27_final
2006-10-08 10:07:59	ga_ls5t_ard_3-0-0_099079_2006-10-08_final
2006-11-18 10:02:35	ga_ls5t_ard_3-0-0_098080_2006-11-18_final
2007-04-10 10:56:35	ga_ls5t_ard_3-0-0_107075_2007-04-10_final
2007-07-07 11:45:43	ga_ls5t_ard_3-0-0_115077_2007-07-07_final
2007-08-16 10:55:08	ga_ls5t_ard_3-0-0_107075_2007-08-16_final
2007-09-01 10:54:57	ga_ls5t_ard_3-0-0_107075_2007-09-01_final
2007-09-09 10:06:40	ga_ls5t_ard_3-0-0_099078_2007-09-09_final
2009-02-10 10:47:30	ga_ls5t_ard_3-0-0_107075_2009-02-10_final
2010-01-28 10:52:36	ga_ls5t_ard_3-0-0_107075_2010-01-28_final

Return to ga_ls5t_ard_3 whole collection overview

ga_ls5t_ard_3: Geoscience Australia Landsat 5 Thematic Mapper Analysis Ready Data Collection 3

Baseline satellite data

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years